Philipp Geyer 
- (2024): A holistic two-stage decision-making methodology for passive and active building design strategies under uncertainty. In: Building and Environment, v. 251 (March 2024).
- (2024): Using causal inference to avoid fallouts in data-driven parametric analysis: A case study in the architecture, engineering, and construction industry. In: Developments in the Built Environment, v. 17 (March 2024).
- (2022): Introducing causal inference in the energy-efficient building design process. In: Energy and Buildings, v. 277 (December 2022).
- (2022): Early-stage design support combining machine learning and building information modelling. In: Automation in Construction, v. 136 (April 2022).
- (2020): Consistent management and evaluation of building models in the early design stages. In: Journal of Information Technology in Construction, v. 25 (October 2020).
- (2014): Integrating requirement analysis and multi-objective optimization for office building energy retrofit strategies. In: Energy and Buildings, v. 82 (October 2014).
- (2020): Uncertainty Analysis of Life Cycle Energy Assessment in Early Stages of Design. In: Energy and Buildings, v. 208 (February 2020).
- (2018): Linking BIM and Design of Experiments to balance architectural and technical design factors for energy performance. In: Automation in Construction, v. 86 (February 2018).
- (2012): Parametric systems modeling for sustainable energy and resource flows in buildings and their urban environment. In: Automation in Construction, v. 22 (March 2012).
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